1 week ago - import { GoogleGenAI } from '@google/genai'; const ai = new GoogleGenAI({ enterprise: true, project: 'your_project', location: 'your_location', }); For NodeJS environments, you can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini Developer API or the Gemini Enterprise Agent Platform.

April 29, 2025 - Google AI JavaScript SDK. Latest version: 0.24.1, last published: a year ago. Start using @google/generative-ai in your project by running `npm i @google/generative-ai`. There are 1945 other projects in the npm registry using @google/generative-ai.

The official Node.js / Typescript library for the Google Gemini API - mohitejaikumar/generative-ai-js

August 31, 2025 - const dotenv = require("dotenv").config(); const { GoogleGenerativeAI } = require("@google/generative-ai"); const genAI = new GoogleGenerativeAI(process.env.API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash"}); const generateContent = async (req,res)=>{ try{ const prompt = "Create 5 funny and witty jokes about generative AI"; const result = await model.generateContent(prompt); const response = await result.response; const text = response.text(); res.send(text); } catch(err){ console.log(err); res.send("Unexpected Error!!!"); } } module.exports = generateContent; Here we are using gemini-1.5-flash model.

June 20, 2025 - // Import the Google AI client const { GoogleGenerativeAI } = require('@google/generative-ai'); const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY); // Define a generation config with a high temperature for unique responses const generationConfig = { temperature: 0.9, }; // Initialize the model WITH the new generation configuration const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash", generationConfig: generationConfig, // Pass our new config here });

April 25, 2026 - import { GoogleGenAI } from '@google/genai'; const ai = new GoogleGenAI({ enterprise: true, project: 'your_project', location: 'your_location', }); For NodeJS environments, you can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini Developer API or the Gemini Enterprise Agent Platform.

gh repo create codelab-genai --private If you receive the error:

January 29, 2026 - Generative Language API client for Node.js. Latest version: 3.7.1, last published: a month ago. Start using @google-ai/generativelanguage in your project by running `npm i @google-ai/generativelanguage`. There are 36 other projects in the npm registry using @google-ai/generativelanguage.

Build and deploy gen AI applications on Google Cloud with Genkit and Node.js

Gen AI for Node.js Developers

November 27, 2025 - import { GoogleGenAI } from '@google/genai'; const ai = new GoogleGenAI({ vertexai: true, project: 'your_project', location: 'your_location', }); For NodeJS environments, you can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini Developer API or the Gemini API in Vertex AI.

April 22, 2024 - The Google AI JavaScript SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: ... You can use this JavaScript SDK for applications ...

June 15, 2025 - // gemini-codebook.js require('dotenv').config(); // Load environment variables const { GoogleGenerativeAI } = require('@google/generative-ai'); const API_KEY = process.env.API_KEY; if (!API_KEY) { console.error("API_KEY not found in .env file. Please create a .env file with API_KEY=YOUR_GEMINI_API_KEY"); process.exit(1); } const genAI = new GoogleGenerativeAI(API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-pro" }); // Using gemini-pro for text tasks /** * Calls the Google Gemini API with a given prompt and optional model parameters.

April 2, 2026 - By the end of this tutorial, you will know how to: Initialize a zero-config TypeScript project using Node’s native runner. Securely integrate the Gemini API using environment variables. Generate AI responses with the @google/genai library.

2 weeks ago - from google import genai client = genai.Client() interaction = client.interactions.create( model="gemini-3.5-flash", input="Explain how AI works in a few words" ) print(interaction.output_text) Install the SDK: npm install @google/genai ·

April 28, 2026 - The Google GenAI SDK is available for the Python, JavaScript/TypeScript, Go and Java languages.

Explore Google AI Studio and the capabilities of the Gemini generative AI model. Learn how to design and test the different types of prompts (freeform, structured, and chat), get an API key, and build a simple NodeJS application.

1 month ago - import { GoogleGenAI } from '@google/genai/node'; // With API key const client = new GoogleGenAI({ apiKey: 'YOUR_API_KEY' }); // With Vertex AI and Application Default Credentials const vertexClient = new GoogleGenAI({ vertexai: true, project: 'my-project-id', location: 'us-central1' });

import { GoogleGenerativeAI, HarmCategory, HarmBlockThreshold } from "@google/generative-ai"; const MODEL_NAME = "gemini-pro"; const API_KEY = process.env.GEMINI_API_KEY; async function run() { const genAI = new GoogleGenerativeAI(API_KEY); const model = genAI.getGenerativeModel({ model: MODEL_NAME }); const generationConfig = { temperature: 0.9, topK: 1, topP: 1, maxOutputTokens: 2048, }; const safetySettings = [ { category: HarmCategory.HARM_CATEGORY_HARASSMENT, threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE, }, { category: HarmCategory.HARM_CATEGORY_HATE_SPEECH, threshold: HarmBlockTh

January 30, 2026 - import { GoogleGenAI } from '@google/genai'; const ai = new GoogleGenAI({ vertexai: true, project: 'your-gcp-project-id', location: 'your-gcp-location', // e.g., 'us-central1' }); async function runVertex() { // Example: Generate text content with Vertex AI const model = ai.models.generateContent({ model: "gemini-1.5-pro-preview-0409", // Example Vertex AI model contents: [{ role: "user", parts: [{ text: "What are the benefits of using Vertex AI with the Gen AI SDK?"